* feat: Custom UI renderers for skill, read_file, and bash_tool Add specialized tool call components for the three skill tools, replacing the generic ToolCall fallback with contextual UI. * fix: Address review findings for skill tool UI renderers - Fix Codex P2: read skillName (camelCase) matching agent pipeline - Fix Codex P2: remove error regex from ReadFileCall to avoid false positives on normal file content containing "Error:" tokens - Extract useToolCallState hook to eliminate ~60% boilerplate duplication across SkillCall, ReadFileCall, and BashCall - Extract parseJsonField utility with consistent escaped-char-aware regex fallback, shared by all three components - Gate SkillCall bordered card on hasOutput to prevent empty card when expanded before output arrives - Skip highlightAuto for plaintext lang to avoid expensive auto-detection on files with unknown extensions - Expand LANG_MAP with php, cs, kt, swift, scss, less, lua, r; add FILENAME_MAP for Makefile and Dockerfile - Export langFromPath for testability - Add unit tests for parseJsonField, langFromPath, and ToolIcon skill type branches * refactor: Redesign BashCall as minimal terminal widget Replace the ExecuteCode-clone pattern with a purpose-built terminal UI: $ prompt prefix, dark background command zone, icon-only copy button, and raw monospace output. Drops useLazyHighlight, CodeWindowHeader, Stdout, and the "Output" label in favor of a cleaner two-zone layout that feels native to the terminal. * fix: parseJsonField unescape ordering and ReadFileCall empty card Replace the sequential .replace() chain in parseJsonField's regex fallback with a single-pass /\(.)/g replacement. The old chain processed \n before \, so \n (JSON-escaped literal backslash + n) was incorrectly decoded as a newline instead of \n. Gate ReadFileCall's bordered card on hasOutput (matching SkillCall's pattern) so the card does not render as an empty rounded box during streaming before output arrives. Add regression tests for \n decoding and unknown escape sequences. * fix: Followup review fixes - Refactor ExecuteCode to use shared useToolCallState hook, eliminating the last copy of the inline state machine - Escape regex metacharacters in parseJsonField to prevent injection from field names containing ., +, (, etc. - Fix contradictory test description in langFromPath tests * fix: Surface tool failure state in skill tool renderers Add error detection to useToolCallState via the shared isError check so tool calls that complete with an error prefix show a "failed" suffix instead of a success label. Prevents misleading users when read_file, skill, or bash_tool returns an error (e.g. file not found, skill not accessible). Matches the error handling pattern already used by the generic ToolCall component. * feat: Add bash syntax highlighting to BashCall command zone Reuse the shared useLazyHighlight singleton (already loaded by ReadFileCall and ExecuteCode) to highlight the command with bash grammar. Falls back to plain text while lowlight is loading. * fix: Align BashCall scrollbar to span full card width Move max-h/overflow-auto from the inner pre to the outer container so the scrollbar spans the full width like the output zone. Float the copy button with sticky positioning so it stays visible while scrolling long commands. * feat: Use GNU Bash icon for bash_tool progress header and ToolIcon Replace the generic SquareTerminal lucide icon with the GNU Bash logo (already in the project via LangIcon/langIconPaths) for both the BashCall progress header and the ToolIcon stacked icon mapping. * fix: Render raw content while highlighter loads, preserve command text on copy - ReadFileCall: fall back to raw output when useLazyHighlight returns null, preventing a blank code panel on first render before lowlight finishes its dynamic import - BashCall: drop .trim() from the copy handler so the clipboard receives exactly what's displayed (WYSIWYG copy) * fix: Alphabetize new translation keys within en/translation.json Relocate read_file, skill_finished, and skill_running into their correct alphabetical positions within the overall key list. * fix: Surface error state in ExecuteCode, fix BashCall import order - ExecuteCode now uses hasError from useToolCallState to show the "failed" suffix on failed code executions, matching the three new renderers - Reorder BashCall local imports to longest-to-shortest per project style |
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LibreChat
English · 中文
✨ Features
-
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
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🤖 AI Model Selection:
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
- Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
- Compatible with Local & Remote AI Providers:
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
- OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
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- Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
- Seamless File Handling: Upload, process, and download files directly
- No Privacy Concerns: Fully isolated and secure execution
-
🔦 Agents & Tools Integration:
- LibreChat Agents:
- No-Code Custom Assistants: Build specialized, AI-driven helpers
- Agent Marketplace: Discover and deploy community-built agents
- Collaborative Sharing: Share agents with specific users and groups
- Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
- Model Context Protocol (MCP) Support for Tools
- LibreChat Agents:
-
🔍 Web Search:
- Search the internet and retrieve relevant information to enhance your AI context
- Combines search providers, content scrapers, and result rerankers for optimal results
- Customizable Jina Reranking: Configure custom Jina API URLs for reranking services
- Learn More →
-
🪄 Generative UI with Code Artifacts:
- Code Artifacts allow creation of React, HTML, and Mermaid diagrams directly in chat
-
🎨 Image Generation & Editing
- Text-to-image and image-to-image with GPT-Image-1
- Text-to-image with DALL-E (3/2), Stable Diffusion, Flux, or any MCP server
- Produce stunning visuals from prompts or refine existing images with a single instruction
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💾 Presets & Context Management:
- Create, Save, & Share Custom Presets
- Switch between AI Endpoints and Presets mid-chat
- Edit, Resubmit, and Continue Messages with Conversation branching
- Create and share prompts with specific users and groups
- Fork Messages & Conversations for Advanced Context control
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💬 Multimodal & File Interactions:
- Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
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🌎 Multilingual UI:
- English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
- Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
- Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
- Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
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🧠 Reasoning UI:
- Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
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🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
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- Never lose a response: AI responses automatically reconnect and resume if your connection drops
- Multi-Tab & Multi-Device Sync: Open the same chat in multiple tabs or pick up on another device
- Production-Ready: Works from single-server setups to horizontally scaled deployments with Redis
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🗣️ Speech & Audio:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
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📥 Import & Export Conversations:
- Import Conversations from LibreChat, ChatGPT, Chatbot UI
- Export conversations as screenshots, markdown, text, json
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🔍 Search & Discovery:
- Search all messages/conversations
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👥 Multi-User & Secure Access:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
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⚙️ Configuration & Deployment:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- Use completely local or deploy on the cloud
-
📖 Open-Source & Community:
- Completely Open-Source & Built in Public
- Community-driven development, support, and feedback
For a thorough review of our features, see our docs here 📚
🪶 All-In-One AI Conversations with LibreChat
LibreChat is a self-hosted AI chat platform that unifies all major AI providers in a single, privacy-focused interface.
Beyond chat, LibreChat provides AI Agents, Model Context Protocol (MCP) support, Artifacts, Code Interpreter, custom actions, conversation search, and enterprise-ready multi-user authentication.
Open source, actively developed, and built for anyone who values control over their AI infrastructure.
🌐 Resources
GitHub Repo:
- RAG API: github.com/danny-avila/rag_api
- Website: github.com/LibreChat-AI/librechat.ai
Other:
- Website: librechat.ai
- Documentation: librechat.ai/docs
- Blog: librechat.ai/blog
📝 Changelog
Keep up with the latest updates by visiting the releases page and notes:
⚠️ Please consult the changelog for breaking changes before updating.
⭐ Star History
✨ Contributions
Contributions, suggestions, bug reports and fixes are welcome!
For new features, components, or extensions, please open an issue and discuss before sending a PR.
If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our Translation Guide.
💖 This project exists in its current state thanks to all the people who contribute
🎉 Special Thanks
We thank Locize for their translation management tools that support multiple languages in LibreChat.